A Review on Methods Applied on P300-Based Lie Detectors

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 705)

Abstract

Deceit identification or detection has become a topic of study from past few decades. Detecting lie is not only a legal issue, but also moral and ethical issue. Various lie detectors like polygraph have been developed which check body temperature, heart rate, pulse rate, blood pressure, etc., to detect whether a person is telling truth or not. But these polygraph tests give an indirect and incomplete knowledge of deception, so directly measuring mental activity of subject using brain–computer interface (BCI) was adopted which identifies the mental state of subject and detects lie. These lie detectors use P300 component of event-related potential (ERP) generated during mental task and acquired using electroencephalography (EEG). In our paper we have presented a survey on state-of-the-art techniques applied for analyzing and classifying innocent and guilty subjects.

Keywords

Brain–computer interface P300 Event-related potentials Lie detectors 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringNational Institute of Technology GoaPondaIndia

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